Artificial Intelligence Engineer
- Toronto, ON, Canada
$60 to $80 CAD / hour · Contract
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Job details
- Pay
- $60 to $80 CAD / hour
- Job type
- Contract
- Apply by
- Experience
- 3-5 years of experience in engineering (software development, infrastructure, or related), preferably in regulated environments
- Posting language
- English
- Posted
Original job description
Insight Global is looking for an AI Systems Engineer to join a large banking client on a 6-month contract working hybrid in downtown Toronto 2 days/week onsite. The successful candidate will join a detection engineering function supporting fraud and cybersecurity initiatives. This individual will focus on building and optimizing AI-driven detection workflows, leveraging LLMs and agentic frameworks to automate and enhance detection capabilities. The role involves developing Python-based tooling, orchestrating AI agents, and translating detection research into scalable workflows.
Day-to-day responsibilities include designing and building agentic workflows, contributing to detection engineering prototypes, collaborating with cybersecurity operations teams (CSOC, SIAO, and SAS), and providing regular updates to leadership. Please Note: We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position.
REQUIRED SKILLS AND EXPERIENCE
- 3-5 years of experience in engineering (software development, infrastructure, or related), preferably in regulated environments
- 2+ years of hands-on experience with AI, including building AI agents, agentic workflows, or orchestration frameworks • Strong experience with LLMs, RAG architectures, LangChain, or similar frameworks for agent development
- Proficiency in Python scripting for automation, workflow development, and prompt engineering
- Experience building non-deterministic or AI-driven workflow automation solutions
- Strong communication skills with the ability to work independently, take initiative, and contribute innovative ideas
NICE TO HAVE SKILLS AND EXPERIENCE
- Previous experience within banking or financial services environments
- Experience with AWS Bedrock or similar AI platforms
- Exposure to SIEM, Splunk, or detection engineering workflows
- Experience with SOAR platforms (e.g., Splunk SOAR)
- Familiarity with CI/CD tools such as Ansible
Pay: 60-80/hr
Vacancy status: This posting is for a current backfill, and the successful candidate will be hired into an existing open position.
Artificial intelligence tools are used to assist in screening and assessing applicants for this position.
More about this job
Responsibilities
Design and build AI-driven detection workflows and agentic systems, using Python, LLMs, and orchestration frameworks to automate and improve fraud and cybersecurity detection. Develop detection engineering prototypes, collaborate with cybersecurity operations teams, and provide regular updates to leadership.
Requirements
Requires 3–5 years of engineering experience and at least 2 years of hands-on AI experience, including building agents, agentic workflows, or orchestration frameworks. Candidates should have strong experience with LLMs, RAG, LangChain or similar tools, Python automation and prompt engineering, and the ability to work independently and communicate effectively.
Skills
- Artificial Intelligence
- AI Agents
- Agentic Workflows
- LLMs
- RAG Architectures
- LangChain
- Python
- Prompt Engineering
- Workflow Automation
- AI Orchestration
- Detection Engineering
- Cybersecurity
- AWS Bedrock
- SIEM
- Splunk
- SOAR
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Security & Safety
- Engineering
- Finance & Accounting
Keywords
- Artificial Intelligence
- AI Agents
- Agentic Frameworks
- Agentic Workflows
- LLMs
- RAG Architectures
- LangChain
- Python
- Prompt Engineering
- Workflow Automation
- AI Orchestration
- Detection Engineering
- Fraud Detection
- Cybersecurity
- Cybersecurity Operations
- CSOC
- SIAO
- SAS
- AWS Bedrock
- SIEM
- Splunk
- SOAR
- Splunk SOAR
- Ansible
- CI/CD
- Banking
- Financial Services
- Regulated Environments